
sarah hong ✨
2.1K posts

sarah hong ✨
@latentcodes
pursuing the adjacent possible for the next era of human-aligned ai. cofounder @latentspaceai 👩🏻💻🇨🇦 @uoftcompsci




Try talking with ChatGPT, our new AI system which is optimized for dialogue. Your feedback will help us improve it. openai.com/blog/chatgpt/


It is important to remind yourself that the system has no interest in the truth, because it has no concept of the truth, because it has not concept of the world.

We are excited to announce FSDL 2022! ✨ New lectures on continual learning, working with LLM's, and ML project management 💪 All lectures and labs updated for 2022 🗣 Discord-based cohort experience 🔜 Starting August 8th Register today at fullstackdeeplearning.com/course/






Today Meta AI is sharing OPT-175B, the first 175-billion-parameter language model to be made available to the broader AI research community. OPT-175B can generate creative text on a vast range of topics. Learn more & request access: ai.facebook.com/blog/democrati…

Catch @DarrylBarnhart speak @NVIDIAGTC today about our exciting work @LatentSpaceAI on scaling LLM with retrieval! 📚 There’ll be an open QA in 30 mins: reg.rainfocus.com/flow/nvidia/gt…


Wordcel Darwin wrote millions of words in diaries during an expensive journey around the world to get labels for his training data (only to realize it was self-supervision all along…) Rotator Newton sat at home during a plague rotating apples in his head. (2/4)



16. It's fascinating how the two axes seem to imply each other: Pure tinkering is fast and effective, but it is unprincipled, so lacks large-scale legitimacy, so can only cooperate through centralization Theorycel thinking is slower, but well-suited for decentralization


A thread on how we evaluate our embedding models in OpenAI’s API. We achieve state-of-the-art results in linear probe classification, text search and code search. It’s not fine-tuned, so it works great in the real world — and our customers love it. 1/7






